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Scientific Machine Learning
using SciML
Aniket Kulkarni
Aniket Kulkarni
● MSc in Computational Fluid Dynamics from
Cranfield University
● Presales & application development @ Ansys
● Lead Data Scientist @ Aligned Automation
About Me
lnk.bio/ani.kulkarni
Physical Systems
System
Modules/
subsystems/
components
Design Aspects Electrical
Mechanical
Molecular
Fluid Dynamics
Virtual Modelling
● What is virtual modelling?
○ Wave equation :
○ Heat equation :
○ Existing tools - Matlab, Ansys etc.
● The need
○ Cost reduction
○ Visualization
● Need for open source tools
SciML
● Julia language
○ Speed
○ Python-like
SciML
● Software suite for scientific machine learning
○ Modelling
○ Solvers
○ Analysis
○ Machine Learning
○ Developer Tools
SciML Tools Walkthrough
Radioactive Decay of Carbon-14
Scientific Machine Learning
● Physics Informed Neural Networks (PINN)
● Neural Differential Equations
● Surrogates
● Inverse modelling
● GPU support
Physics Informed Neural Network
Physics Informed Neural Network
Summary
● Role of simulations in physical systems
● Advancements in simulations using Machine Learning
● Open source software in simulations
● SciML tools for scientific machine learning
Thank You

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Scientific Machine Learning using SciML.pdf